Lingokids

• At Lingokids, being a Senior Product Engineer means being responsible for the entire lifecycle of an initiative in our product, from initial conceptualization to deployment and beyond. • Our Product Engineers have a deep understanding of both technical intricacies and user needs and collaborate closely with Designers, peer Product Engineers, and other stakeholders. • Ownership: you own large features end-to-end, from scoping and technical design to instrumentation, monitoring, deployment, and maintenance. • You communicate proactively with the team, and provide constructive feedback through design, code, and peer reviews, receiving it with the same openness. • Experimentation: you design, run, and interpret experiments, reading data, drawing conclusions, and proposing ideas and direction based on what you find. • Improve infrastructure and processes: you work with your squad to bring new ideas on how to improve the app's infrastructure and team processes, and collaborate closely with UX and Designers to translate design concepts into functional, high-quality code.

• Own the production recommendation infrastructure: maintain and improve the systems that serve personalized content to millions of users, ensuring reliability, low latency, and scalability as the catalog and user base grow. • Research and prototype advanced recommendation algorithms: explore newer approaches - deep learning-based models, contextual bandits, session-based recommendations, graph-based methods - evaluate their potential, and run controlled experiments to validate uplift before production. • Produce ML models and pipelines: take prototypes (from yourself or from the team's Data Scientist) and turn them into production-grade, monitored, maintainable features integrated into the live recommendation engine. • Design scalable infrastructure: anticipate bottlenecks and design systems that can handle larger catalogs, more complex segmentations, and higher traffic - including serving layer optimization, caching strategies, and pipeline orchestration. • Build and maintain data pipelines in DBT and Databricks, ensuring clean transformations, data quality, and robust experimentation frameworks that the team can rely on. • Monitor model health in production: define retraining strategies, detect drift, and ensure recommendation quality is measured and maintained over time. • Collaborate closely with the Data Scientist and Senior Analyst to translate statistical insights and business requirements into engineering decisions.

Lingokids is on a mission to help families raise amazing kids through Playlearning™. Ready to join us on this exciting journey? 🚀 Lingokids is a global leader in educational technology, helping over 185 million families worldwide raise amazing kids through Playlearning™,our unique approach that blends education with play. Our mission is to empower children with modern learning experiences, combining educational subjects with essential life skills to help them grow into confident, conscious, and resilient lifelong learners. Beyond our award-winning app, we’ve built a multi-platform educational universe, including our “Baby Bot” and “Baby Bot’s Backyard Tales” shows, Podcasts, and Music Publishing. Our content, developed in collaboration with top education experts and Oxford Press University, ensures an engaging, high-quality learning experience in a safe, ad-free environment. This dedication to excellence has earned Lingokids multiple industry awards across app, podcast, and video categories, including Best Original Learning App by Kidscreen Awards, National Parenting Product Awards by NAPPA Awards, and Best Parenting Product by Good Housekeeping, among many others! As an IT Lead, you'll manage our existing IT team member, take direct ownership of day-to-day IT work, and play a key role in driving automation and efficiency across the company. This role sits within the Engineering department and works closely with engineering, and other teams to ensure our infrastructure, tooling, and processes support a fast-moving organization. If you want to be part of a team that's redefining the future of education, we’d love to hear from you! What you’ll do - Lead and manage the IT function, including direct management of our current IT team member - Be hands-on with daily IT operations: you're not just directing, you're doing - Run helpdesk support, triaging and resolving issues for employees across the company - Own the full employee lifecycle from an IT perspective**:** manage onboarding (account provisioning, device setup, access grants, tooling walkthroughs) and offboarding (account deactivation, access revocation, device recovery, data handling), ensuring a smooth and secure experience at every stage - Manage the full device lifecycle (laptops, phones, tablets) including procurement, provisioning, and decommissioning - Own and operate our MDM platform, managing device policies, compliance, and security configurations - Administer and maintain our SaaS tooling stack (Google Workspace, Slack, Notion, and others) - Manage user accounts, permissions, and access controls across all company platforms, including regular access reviews and least-privilege enforcement - Collaborate with Engineering and other departments to identify and implement automation opportunities that reduce manual work across the company - Contribute to IT security practices: endpoint protection, patch management, vulnerability response, and security awareness - Manage vendor relationships for IT services and hardware - Maintain IT documentation, asset inventory, and internal knowledge base - Support compliance requirements related to IT operations (COPPA, kidSAFE, data protection, etc.) What you’ll bring - 5+ years of experience in IT operations or systems administration, with at least 1-2 years in a lead or senior role - Strong hands-on skills across macOS and Windows environments - Experience with MDM solutions (Kandji, Jamf, Fleet, JumpCloud, or similar) - Solid knowledge of Google Workspace administration - Experience with identity and access management, SSO, and directory services - Experience designing and running structured onboarding/offboarding processes, ideally with some level of automation - Scripting ability (Bash, Python, or similar) to automate repetitive tasks and build internal tools - Familiarity with networking fundamentals (DNS, DHCP, VPN, firewall basics) - Strong troubleshooting and problem-solving skills - Excellent communication: you can work with engineers and non-technical teams alike English is a must: We’re a multicultural team providing a service in English, so while certifications aren’t necessary, fluency is essential. As a fully remote company, clear and effective spoken and written communication, especially in asynchronous and long-form formats, is key to collaborating successfully. Life at Lingokids 📚 Career Growth: Your growth drives our success! We invest in your development up to €2,000 per year for books and training; so you can keep learning and growing with us. 🏡 Remote-Friendly: Work from where you’re most productive, home or our offices in Madrid, anywhere within a 2-hour difference from Spain (GMT+1). The choice is yours! 📈 Stock Options: Your contribution matters! You'll receive stock options, giving you the opportunity to own part of the company and share in its success. 🖥 Home Office Setup: Create your ideal workspace with a €400 allowance for setup and €35/month for remote work expenses, because comfort fuels creativity! 🍲 Meal Allowances: Get €60/month on your Cobee card to enjoy meals at restaurants or food delivery, good food makes everything better! 💳 Flexible Compensation: Manage your meal, transport and childcare expenses easily with Cobee, integrating them directly into your payroll. 🩺 Health Insurance: Access private health coverage at exclusive rates through Adeslas, seamlessly deducted from your payroll, quality care made simple. 💬 Language Lessons: Learning never stops! Enjoy free language classes in Spanish and English, to sharpen your skills and stay connected in a global team. 🌍 Visa Sponsorship: If you need a visa to work in the EU, we’ll handle the process and cover the costs to make your transition seamless. 🎉 Company events: Yes! We’re a fully remote team spread across different countries, but we love getting together from time to time in different corners of Spain, for team gatherings and recharging at our amazing off-sites! Passion matters more than perfection Didn’t check every box for this role? No worries! We’re looking for passionate, driven individuals who believe in our mission. If that sounds like you, we’d still love to hear from you! Diversity, Equity, and Inclusion At Lingokids, diversity isn’t just a checkbox—it’s at the heart of everything we do. Just like we teach kids to embrace differences, we celebrate them in our team, knowing that the best ideas come from unique perspectives. We’re all about creating a space where everyone feels valued, heard, and empowered to be their authentic selves. No matter your background, identity, or story, if you’re passionate about making a difference in education, we want you here.

• Operate as the most senior IC in Product, working horizontally across the company's most important strategic bets and ensuring they reinforce each other rather than compete. • Frame the highest-stakes product decisions facing the company and help the organization make better bets, especially when the data doesn't give a clean answer. • Partner with the VP of Product as a strategic thought partner on company-level product direction. • Go deep when it matters; shaping a critical flow, pressure-testing a team's strategy, or reframing how we think about a problem.

• Advance our recommendation and personalization logic by designing and validating new statistical approaches - from improved segmentation models and engagement scoring to causal uplift estimation and multi-touch attribution. • Own the experimentation framework for the team: design rigorous A/B and multivariate tests, develop methodologies to handle complex measurement challenges (novelty effects, interference, long-term effects), and ensure results are interpreted correctly. • Tackle complex analytical problems that require going beyond descriptive statistics - building predictive models, running causal inference analyses, and decomposing metric movements into their drivers. • Partner closely with the Senior Analyst to turn user journey insights into statistically grounded targeting and personalization strategies. • Collaborate with the ML Engineering Data Scientist to ensure that statistical models and experimental findings can be produced and integrated into the recommendation engine. • Define and refine the metrics and success criteria used to evaluate personalization quality, ensuring we measure what actually matters for users and for the business. • Own the offline evaluation framework: build and maintain counterfactual evaluation methods, replay-based policy estimation, and offline screening pipelines that let the team assess 10 ideas offline for every 1 tested live - dramatically accelerating iteration speed. • Map and measure the interplay between editorial rules and personalization logic - systematically investigating when and how rules like hardcoded IP placements, content diversity constraints, or curated onboarding slots interact with ML-optimized recommendations, and designing experiments to quantify the trade-off. • Communicate complex statistical findings clearly and confidently to non-technical stakeholders, and advocate for methodological rigor across the team.

• Own the end-to-end user journey for both free and paid (Plus) users: map how users enter, explore, convert, churn, and reactivate across the product. • Identify key behavioral patterns, friction points, and high-value segments through deep cohort analysis, funnel decomposition, and engagement profiling. • Translate findings into targeting recommendations: define which user segments to prioritize, when to intervene, and what levers (content, notification, paywall, onboarding) are most likely to move the needle. • Build and maintain dashboards and reports that track user journey KPIs - activation rates, habit formation milestones, retention curves, conversion touch points - so product and growth teams always have reliable, actionable visibility. • Partner with product managers to design and analyze A/B tests that validate targeting hypotheses and optimize specific journey moments. • Work closely with Data Scientists to ensure your segmentations and journey insights feed into modeling and personalization initiatives. • Contribute to content quality evaluation - analyzing how different content types and formats perform across user segments, and assessing how content is produced and how to surface the most relevant content to each user. • Depending on the squad, this may include recommendation observability work - tracking what is being recommended to whom, and monitoring diversity, novelty, and coverage across experiments to ensure recommendation quality is visible and measurable. • Translate retention and engagement findings into revenue and LTV impact - sizing the business value of user behavior changes and helping prioritize where to focus next. • Present findings with clarity and conviction to stakeholders at all levels, making complex behavioral patterns easy to act on.

• Own the production recommendation infrastructure: maintain and improve the systems that serve personalized content to millions of users, ensuring reliability, low latency, and scalability as the catalog and user base grow. • Research and prototype advanced recommendation algorithms: explore newer approaches - deep learning-based models, contextual bandits, session-based recommendations, graph-based methods - evaluate their potential, and run controlled experiments to validate uplift before production. • Produce ML models and pipelines: take prototypes (from yourself or from the team's Data Scientist) and turn them into production-grade, monitored, maintainable features integrated into the live recommendation engine. • Design scalable infrastructure: anticipate bottlenecks and design systems that can handle larger catalogs, more complex segmentations, and higher traffic - including serving layer optimization, caching strategies, and pipeline orchestration. • Build and maintain data pipelines in DBT and Databricks, ensuring clean transformations, data quality, and robust experimentation frameworks that the team can rely on. • Monitor model health in production: define retraining strategies, detect drift, and ensure recommendation quality is measured and maintained over time. • Collaborate closely with the Data Scientist and Senior Analyst to translate statistical insights and business requirements into engineering decisions.

Lingokids is on a mission to help families raise amazing kids through Playlearning™. Ready to join us on this exciting journey? 🚀 Lingokids is a global leader in educational technology, helping over 185 million families worldwide raise amazing kids through Playlearning™,our unique approach that blends education with play. Our mission is to empower children with modern learning experiences, combining educational subjects with essential life skills to help them grow into confident, conscious, and resilient lifelong learners. Beyond our award-winning app, we’ve built a multi-platform educational universe, including our “Baby Bot” and “Baby Bot’s Backyard Tales” shows, Podcasts, and Music Publishing. Our content, developed in collaboration with top education experts and Oxford Press University, ensures an engaging, high-quality learning experience in a safe, ad-free environment. This dedication to excellence has earned Lingokids multiple industry awards across app, podcast, and video categories, including Best Original Learning App by Kidscreen Awards, National Parenting Product Awards by NAPPA Awards, and Best Parenting Product by Good Housekeeping, among many others! As a Senior Data Analyst on the Product Engagement team, your core mission is to deeply understand the Lingokids user journey - from first install to long-term retention - and translate that understanding into concrete targeting and engagement strategies. You will map how different user segments move through the product, identify friction points and opportunity windows, and recommend specific interventions (content, messaging, features, timing) that help us reach the right user with the right action at the right moment. You are the person who knows our users better than anyone else on the team. What you'll do - Own the end-to-end user journey for both free and paid (Plus) users: map how users enter, explore, convert, churn, and reactivate across the product. - Identify key behavioral patterns, friction points, and high-value segments through deep cohort analysis, funnel decomposition, and engagement profiling. - Translate findings into targeting recommendations: define which user segments to prioritize, when to intervene, and what levers (content, notification, paywall, onboarding) are most likely to move the needle. - Build and maintain dashboards and reports that track user journey KPIs - activation rates, habit formation milestones, retention curves, conversion touch points - so product and growth teams always have reliable, actionable visibility. - Partner with product managers to design and analyze A/B tests that validate targeting hypotheses and optimize specific journey moments. - Work closely with Data Scientists to ensure your segmentations and journey insights feed into modeling and personalization initiatives. - Contribute to content quality evaluation - analyzing how different content types and formats perform across user segments, and assessing how content is produced and how to surface the most relevant content to each user. - Depending on the squad, this may include recommendation observability work - tracking what is being recommended to whom, and monitoring diversity, novelty, and coverage across experiments to ensure recommendation quality is visible and measurable. - Translate retention and engagement findings into revenue and LTV impact - sizing the business value of user behavior changes and helping prioritize where to focus next. - Present findings with clarity and conviction to stakeholders at all levels, making complex behavioral patterns easy to act on. What you'll bring - Advanced SQL: fluent in complex queries (window functions, CTEs, nested aggregations, sessionization) on large-scale data warehouses such as Databricks or BigQuery. - Deep product analytics expertise: strong hands-on experience with behavioral analytics platforms (Amplitude, Mixpanel, or equivalent). Comfortable building funnels, retention curves, cohort analyses, and event-level user flows from scratch. - User journey thinking: ability to go beyond reporting metrics and reconstruct why users behave the way they do. You connect data signals into coherent narratives about user intent, motivation, and friction. - Targeting and segmentation mindset: experience defining actionable user segments and translating them into concrete product or growth recommendations - not just describing who users are, but what to do about it. - Statistical rigor: solid grasp of A/B testing, significance testing, and common pitfalls (novelty effects, SRM, peeking). Comfortable communicating uncertainty and caveats clearly. - Storytelling and influence: the ability to turn complex analyses into clear, persuasive narratives for non-technical stakeholders. Strong at structuring findings into recommendations that drive decisions. - End-to-end ownership: a track record of defining problems independently, building the right analytical framework, and following through until insight becomes action. Nice to have - Experience with Python (Pandas, Matplotlib) for more advanced data manipulation or exploratory analysis. - Familiarity with DBT or other data transformation tools. - Experience in a subscription or freemium business, particularly around lifecycle and retention analytics. - Exposure to CRM targeting logic, push/email segmentation, or personalization frameworks. - Experience with subscription revenue modeling or LTV estimation. English is a must: We’re a multicultural team providing a service in English, so while certifications aren’t necessary, fluency is essential. As a fully remote company, clear and effective spoken and written communication, especially in asynchronous and long-form formats, is key to collaborating successfully. Life at Lingokids 📚 Career Growth: Your growth drives our success! We invest in your development up to €2,000 per year for books and training; so you can keep learning and growing with us. 🏡 Remote-Friendly: Work from where you’re most productive, home or our offices in Madrid, anywhere within a 2-hour difference from Spain (GMT+1). The choice is yours! 📈 Stock Options: Your contribution matters! You'll receive stock options, giving you the opportunity to own part of the company and share in its success. 🖥 Home Office Setup: Create your ideal workspace with a €400 allowance for setup and €35/month for remote work expenses, because comfort fuels creativity! 🍲 Meal Allowances: Get €60/month on your Cobee card to enjoy meals at restaurants or food delivery, good food makes everything better! 💳 Flexible Compensation: Manage your meal, transport and childcare expenses easily with Cobee, integrating them directly into your payroll. 🩺 Health Insurance: Access private health coverage at exclusive rates through Adeslas, seamlessly deducted from your payroll, quality care made simple. 💬 Language Lessons: Learning never stops! Enjoy free language classes in Spanish and English, to sharpen your skills and stay connected in a global team. 🌍 Visa Sponsorship: If you need a visa to work in the EU, we’ll handle the process and cover the costs to make your transition seamless. 🎉 Company events: Yes! We’re a fully remote team spread across different countries, but we love getting together from time to time in different corners of Spain, for team gatherings and recharging at our amazing off-sites! Passion matters more than perfection Didn’t check every box for this role? No worries! We’re looking for passionate, driven individuals who believe in our mission. If that sounds like you, we’d still love to hear from you! Diversity, Equity, and Inclusion At Lingokids, diversity isn’t just a checkbox—it’s at the heart of everything we do. Just like we teach kids to embrace differences, we celebrate them in our team, knowing that the best ideas come from unique perspectives. We’re all about creating a space where everyone feels valued, heard, and empowered to be their authentic selves. No matter your background, identity, or story, if you’re passionate about making a difference in education, we want you here.

• Lead the localization design strategy for games and interactive experiences, defining guidelines, standards, and best practices to ensure content adapts seamlessly across markets, languages, and cultural contexts. • Redesign game content within the Unity Editor when localization impacts gameplay; adapting layouts, UI, parameters, and features to accommodate text expansion, right-to-left language support, iconography, and culturally sensitive content. • Design and produce layouts, levels, parameters, and features for our games inside the Unity Editor, following set guidelines. • Collaborate with Production and regional stakeholders to plan game releases aligned with company goals and market-specific requirements. • Drive retention and engagement by collecting qualitative feedback from user tests with kids (ages 2–8) across target markets and quantitative data from regional metrics, then translating insights into design decisions. • Develop and maintain in-depth technical design documentation, including localization specifications for region-specific assets, and communicate requirements across teams. • Ensure technical optimization of games, including localized builds, and promote quality standards for consistent player experiences regardless of language or region. • Assist in prototyping game experiences using internal tools, including early validation of cultural and linguistic adaptations.